Stochastic variables associated to a single-server queueing system wit
h finite population are shown to weakly converge, on some time regions
, to Gaussian processes, Brownian motions or stochastic integrals on s
uch when the population size increases. Queue length, unfinished work,
storage occupied (in a computer system model) and idle time show diff
erent limiting behaviour, depending on the arrival and service distrib
ution.